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IC Senior_SSE_Data Engineer_PySpark, Airflow_2_Atlanta, GA

Posted on Nov 25, 2022 by Ugam

Atlanta, GA
Other
Immediate Start
Annual Salary
Full-Time
Job Description



Ugam, a Merkle company and part Dentsu, is looking for Senior Software Engineer (Data Engineer).



This role is responsible to architect, develop and optimize petabyte scale data transformations pipelines and data platforms with smart fault tolerance and monitoring capabilities. You will design strategies to integrate ML models within the data flows using state-of-the art GCP environments such as Composer, Dataproc, BiqQuery, BQML, VertexAI etc.



The ideal candidate will develop production quality python, pyspark and Ariflow code and mentor teams members. S/he will talk to business, participate in solution design, and build standards and best practices to address short- and long-term needs of the business (documentations, frameworks, boilerplate abstractions etc.) Role: Senior Software Engineer (Data Engineer)



Key Responsibilities:



Build pipelines to manage audience data for personalised marketing campaigns, integrate audience data from various sources to build one view of the customer



Perform experimentation at scale by tagging audiences based on complex hierarchy of customer, product, and regional factors



Responsible for development of the workflow orchestration & ETL pipelines within marketing's analytics and data science platforms. You will ensure that the data pipeline infrastructure meets the analysis, reporting, and data science needs of the marketing organization.



Implement continued design, development and optimization of the marketing data pipelines & data prep infrastructure built on cutting-edge cloud technologies.



Embrace an active team role to help design, implement, and launch efficient and reliable data pipelines moving data across several platforms including Data Warehouse, online caches, and real-time systems.



Create data architecture that is flexible, scalable, and consistent for cross-functional use, and aligned to stakeholder business requirements.



Deploy workflow orchestration and demonstrate expertise in data modeling, ETL development, and data warehousing



Validate Data Engineering business data elements, organizational and business intelligence architecture designs for engineering functional areas from Dashboards, Data Lakes, Data Operations, ML - AI, and upstream/downstream intake and output processes


Reference: 92750866

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